Literature DB >> 23138984

The prevalence of problem gambling in Denmark in 2005 and 2010: a sociodemographic and socioeconomic characterization.

Ola Ekholm1, Stig Eiberg, Michael Davidsen, Maria Holst, Christina V L Larsen, Knud Juel.   

Abstract

Gambling is a worldwide phenomenon. For most persons this causes only small or no problems, but for some, pathological gambling can be the result of entering the gambling environment. The objectives were to estimate the past year and lifetime prevalence of problem gambling in the adult Danish population (16 years or older) in 2010 and trends since 2005 and, furthermore, to investigate whether problem gamblers differed from non-problem gamblers with regard to sociodemographic and socioeconomic factors. Data were derived from two national representative Danish health surveys. The survey in 2005 was based on region-stratified random sample of 10,916 Danish citizens (response rate: 52.1 %) and the survey in 2010 was based on a random sample of 23,405 Danish citizens (response rate: 62.7 %). Problem gambling was defined using the lie/bet questionnaire. The past year prevalence of problem gamblers in Denmark remained stable from 2005 to 2010 (0.9 and 0.8 %, respectively). The highest past year prevalence of problem gamblers was found among young men in both 2005 and 2010. Furthermore, problem gamblers were more prevalent among men, disability pensioners, less educated and those not married or cohabiting. The present study indicates that a high level of education and being employed have a protective effect against problem gambling. More research is needed in order to understand what attracts and maintains the interest of men in gambling environments as well as why women are not occupied by gambling in the same degree as men.

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Year:  2014        PMID: 23138984     DOI: 10.1007/s10899-012-9347-4

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  18 in total

1.  Prevalence of problem gambling: a replication study 7 years later.

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Journal:  Can J Psychiatry       Date:  1999-10       Impact factor: 4.356

2.  Prevalence and risks of pathological gambling in Sweden.

Authors:  R A Volberg; M W Abbott; S Rönnberg; I M Munck
Journal:  Acta Psychiatr Scand       Date:  2001-10       Impact factor: 6.392

3.  A prospective study of problem and regular nonproblem gamblers living in the community.

Authors:  Max W Abbott; Maynard M Williams; Rachel A Volberg
Journal:  Subst Use Misuse       Date:  2004-05       Impact factor: 2.164

4.  The prevalence of problematic gambling behaviour: a Scandinavian comparison.

Authors:  Jens Bonke; Karen Borregaard
Journal:  Scand J Public Health       Date:  2009-06-18       Impact factor: 3.021

5.  Optimizing DSM-IV-TR classification accuracy: a brief biosocial screen for detecting current gambling disorders among gamblers in the general household population.

Authors:  Line Gebauer; Richard LaBrie; Howard J Shaffer
Journal:  Can J Psychiatry       Date:  2010-02       Impact factor: 4.356

6.  Gambling in Western and Eastern Europe: the example of Hungary.

Authors:  Bernadette Kun; Hedvig Balázs; Petra Arnold; Borbála Paksi; Zsolt Demetrovics
Journal:  J Gambl Stud       Date:  2012-03

7.  The Lie/Bet Questionnaire for screening pathological gamblers.

Authors:  E E Johnson; R Hamer; R M Nora; B Tan; N Eisenstein; C Engelhart
Journal:  Psychol Rep       Date:  1997-02

8.  Estimating the prevalence of disordered gambling behavior in the United States and Canada: a research synthesis.

Authors:  H J Shaffer; M N Hall; J Vander Bilt
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

9.  New evidence from the grey area: Danish results for at-risk gambling.

Authors:  Stéphanie Vincent Lyk-Jensen
Journal:  J Gambl Stud       Date:  2010-09

10.  Lessons from the grey area: a closer inspection of at-risk gamblers.

Authors:  Ingeborg Lund
Journal:  J Gambl Stud       Date:  2007-03-07
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  20 in total

1.  Health behaviour and body mass index among problem gamblers: results from a nationwide survey.

Authors:  Maria H Algren; Ola Ekholm; Michael Davidsen; Christina V L Larsen; Knud Juel
Journal:  J Gambl Stud       Date:  2015-06

2.  Disordered Gambling Prevalence: Methodological Innovations in a General Danish Population Survey.

Authors:  Glenn W Harrison; Lasse J Jessen; Morten I Lau; Don Ross
Journal:  J Gambl Stud       Date:  2018-03

3.  Problem Gambling Associated with Violent and Criminal Behaviour: A Danish Population-Based Survey and Register Study.

Authors:  Bjarne Laursen; Rikke Plauborg; Ola Ekholm; Christina Viskum Lytken Larsen; Knud Juel
Journal:  J Gambl Stud       Date:  2016-03

4.  Prevalence and covariates of problematic gambling among a US military cohort.

Authors:  M Shayne Gallaway; David S Fink; Laura Sampson; Gregory H Cohen; Marijo Tamburrino; Israel Liberzon; Joseph Calabrese; Sandro Galea
Journal:  Addict Behav       Date:  2019-03-21       Impact factor: 3.913

5.  Prevalence and Trends in Problem Gambling in Denmark with Special Focus on Country of Origin: Results from the Danish Health and Morbidity Surveys.

Authors:  Kamilla Kragelund; Ola Ekholm; Christina V L Larsen; Anne I Christensen
Journal:  J Gambl Stud       Date:  2022-01-06

6.  Gambling among adolescents with and without hearing loss.

Authors:  Susanna Geidne; Karin Fröding; Madelene Larsson
Journal:  Asian J Gambl Issues Public Health       Date:  2016-08-04

7.  The relationship between gambling expenditure, socio-demographics, health-related correlates and gambling behaviour-a cross-sectional population-based survey in Finland.

Authors:  Sari Castrén; Jukka Kontto; Hannu Alho; Anne H Salonen
Journal:  Addiction       Date:  2017-09-05       Impact factor: 6.526

Review 8.  Treatment modalities for patients with gambling disorder.

Authors:  Sam-Wook Choi; Young-Chul Shin; Dai-Jin Kim; Jung-Seok Choi; Seohee Kim; Seung-Hyun Kim; HyunChul Youn
Journal:  Ann Gen Psychiatry       Date:  2017-04-28       Impact factor: 3.455

Review 9.  Problem gambling worldwide: An update and systematic review of empirical research (2000-2015).

Authors:  Filipa Calado; Mark D Griffiths
Journal:  J Behav Addict       Date:  2016-10-27       Impact factor: 6.756

10.  Changes in Gambling Behavior during the COVID-19 Pandemic-A Web Survey Study in Sweden.

Authors:  Anders Håkansson
Journal:  Int J Environ Res Public Health       Date:  2020-06-05       Impact factor: 3.390

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